# Storage & Draft Posts - Complete Guide

## Storage Architecture

### How Data is Stored

The Multi-Site SEO Analyzer **does NOT use a local database**. Instead:

1. **Fetches on-demand** from WordPress REST API
2. **Analyzes in-memory** using Python
3. **Exports to CSV files** for long-term storage and review

```
┌─────────────────────────────┐
│   3 WordPress Sites         │
│  (via REST API)             │
└──────────┬──────────────────┘
           │
           ├─→ Fetch posts (published + optional drafts)
           │
┌──────────▼──────────────────┐
│   Python Analysis           │
│  (in-memory processing)     │
└──────────┬──────────────────┘
           │
           ├─→ Analyze titles
           │
           ├─→ Analyze meta descriptions
           │
           ├─→ Score (0-100)
           │
           ├─→ AI recommendations (optional)
           │
┌──────────▼──────────────────┐
│   CSV File Export           │
│  (persistent storage)       │
└─────────────────────────────┘
```

### Why CSV Instead of Database?

**Advantages:**
- ✓ No database setup or maintenance
- ✓ Easy to import to Excel/Google Sheets
- ✓ Human-readable format
- ✓ Shareable with non-technical team members
- ✓ Version control friendly (Git-trackable)
- ✓ No dependencies on database software

**Disadvantages:**
- ✗ Each run is independent (no running total)
- ✗ No real-time updates
- ✗ Manual comparison between runs

**When to use database instead:**
- If analyzing >10,000 posts regularly
- If you need real-time dashboards
- If you want automatic tracking over time

---

## CSV Output Structure

### File Location
```
output/reports/seo_analysis_TIMESTAMP.csv
```

### Columns

| Column | Description | Example |
|--------|-------------|---------|
| `site` | WordPress site | mistergeek.net |
| `post_id` | WordPress post ID | 2845 |
| `status` | Post status | publish / draft |
| `title` | Post title | "Best VPN Services 2025" |
| `slug` | URL slug | best-vpn-services-2025 |
| `url` | Full URL | https://mistergeek.net/best-vpn-2025/ |
| `meta_description` | Meta description text | "Compare 50+ VPN..." |
| `title_score` | Title SEO score (0-100) | 92 |
| `title_issues` | Problems with title | "None" |
| `title_recommendations` | How to improve | "None" |
| `meta_score` | Meta description score (0-100) | 88 |
| `meta_issues` | Problems with meta | "None" |
| `meta_recommendations` | How to improve | "None" |
| `overall_score` | Combined score | 90 |
| `ai_recommendations` | Claude-generated tips | "Consider adding..." |

### Importing to Google Sheets

1. Download CSV from `output/reports/`
2. Open Google Sheets
3. File → Import → Upload CSV
4. Add columns for tracking:
   - [ ] Status (Not Started / In Progress / Done)
   - [ ] Notes
   - [ ] Date Completed
5. Share with team
6. Filter and sort as needed

---

## Draft Posts Feature

### What Are Drafts?

Draft posts are unpublished WordPress posts. They're:
- Written but not published
- Not visible on the website
- Still indexed by WordPress
- Perfect for analyzing before publishing

### Using Draft Posts

**By default**, the analyzer fetches **only published posts**:

```bash
python scripts/multi_site_seo_analyzer.py
```

**To include draft posts**, use the `--include-drafts` flag:

```bash
python scripts/multi_site_seo_analyzer.py --include-drafts
```

### Output with Drafts

The CSV will include a `status` column showing which posts are published vs. draft:

```csv
site,post_id,status,title,meta_score,overall_score
mistergeek.net,2845,publish,"Best VPN",88,90
mistergeek.net,2901,draft,"New VPN Draft",45,55
webscroll.fr,1234,publish,"Torrent Guide",72,75
webscroll.fr,1235,draft,"Draft Tracker Review",20,30
```

### Use Cases for Drafts

**1. Optimize Before Publishing**

If you have draft posts ready to publish:

```bash
python scripts/multi_site_seo_analyzer.py --include-drafts
```

Review their SEO scores and improve titles/meta before publishing.

**2. Recover Previous Content**

If you have removed posts saved as drafts:

```bash
python scripts/multi_site_seo_analyzer.py --include-drafts
```

Analyze them to decide: republish, improve, or delete.

**3. Audit Unpublished Work**

See what's sitting in drafts that could be published:

```bash
python scripts/multi_site_seo_analyzer.py --include-drafts | grep "draft"
```

---

## Complete Examples

### Example 1: Analyze Published Only

```bash
python scripts/multi_site_seo_analyzer.py
```

**Output:**
- Analyzes: ~262 published posts
- Time: 2-3 minutes
- Drafts: Not included

### Example 2: Analyze Published + Drafts

```bash
python scripts/multi_site_seo_analyzer.py --include-drafts
```

**Output:**
- Analyzes: ~262 published + X drafts
- Time: 2-5 minutes (depending on draft count)
- Shows status column: "publish" or "draft"

### Example 3: Analyze Published + Drafts + AI

```bash
python scripts/multi_site_seo_analyzer.py --include-drafts --top-n 20
```

**Output:**
- Analyzes: All posts (published + drafts)
- AI recommendations: Top 20 worst-scoring posts
- Cost: ~$0.20
- Time: 10-15 minutes

### Example 4: Focus on Drafts Only

While the script always includes both, you can filter in Excel/Sheets:

1. Run: `python scripts/multi_site_seo_analyzer.py --include-drafts`
2. Open CSV in Google Sheets
3. Filter `status` column = "draft"
4. Sort by `overall_score` (lowest first)
5. Optimize top 10 drafts before publishing

---

## Comparing Results Over Time

### Manual Comparison

Since results are exported to CSV, you can track progress manually:

```bash
# Week 1
python scripts/multi_site_seo_analyzer.py --no-ai
# Save: seo_analysis_week1.csv

# (Optimize posts for 4 weeks)

# Week 5
python scripts/multi_site_seo_analyzer.py --no-ai
# Save: seo_analysis_week5.csv

# Compare in Excel/Sheets:
# Sort both by post_id
# Compare scores: Week 1 vs Week 5
```

### Calculating Improvement

Example:

| Post | Week 1 Score | Week 5 Score | Change |
|------|--------------|--------------|--------|
| Best VPN | 45 | 92 | +47 |
| Top 10 Software | 38 | 78 | +40 |
| Streaming Guide | 52 | 65 | +13 |
| **Average** | **45** | **78** | **+33** |

---

## Organizing Your CSV Files

### Naming Convention

Create a folder for historical analysis:

```
output/
├── reports/
│   ├── 2025-02-16_initial_analysis.csv
│   ├── 2025-03-16_after_optimization.csv
│   ├── 2025-04-16_follow_up.csv
│   └── seo_analysis_20250216_120000.csv  (latest)
```

### Archive Strategy

1. Run analyzer monthly
2. Save result with date: `seo_analysis_2025-02-16.csv`
3. Keep 12 months of history
4. Compare trends over time

---

## Advanced: Storing Recommendations

### Using a Master Spreadsheet

Instead of relying on CSV alone, create a master Google Sheet:

**Columns:**
- Post ID
- Title
- Current Score
- Issues
- Improvements Needed
- Status (Not Started / In Progress / Done)
- Completed Date
- New Score

**Process:**
1. Run analyzer: `python scripts/multi_site_seo_analyzer.py`
2. Copy relevant rows to master spreadsheet
3. As you optimize: update "Status" and "New Score"
4. Track progress visually

---

## Performance Considerations

### Fetch Time

- **Published only:** ~10-30 seconds (262 posts)
- **Published + drafts:** ~10-30 seconds (+X seconds per 100 drafts)

Drafts don't significantly impact speed since both are fetched in same API call.

### Analysis Time

- **Without AI:** ~1-2 minutes
- **With AI (10 posts):** ~5-10 minutes
- **With AI (50 posts):** ~20-30 minutes

AI recommendations add most of the time (not the fetching).

### Memory Usage

- **262 posts:** ~20-30 MB
- **262 posts + 100 drafts:** ~35-50 MB

No memory issues for typical WordPress sites.

---

## Troubleshooting

### "No drafts found"

**Problem:** You're using `--include-drafts` but get same result as without it.

**Solutions:**
1. Verify you have draft posts on the site
2. Check user has permission to view drafts (needs edit_posts capability)
3. Try logging in and checking WordPress directly

### CSV Encoding Issues

**Problem:** CSV opens with weird characters in Excel.

**Solution:** Open with UTF-8 encoding:
- Excel: File → Open → Select CSV → Click "Edit"
- Sheets: Upload CSV, let Google handle encoding

### Want to Use a Database Later?

If you outgrow CSV files, consider:

**SQLite** (built-in, no installation):
```python
import sqlite3
conn = sqlite3.connect('seo_analysis.db')
# Insert results into database
```

**PostgreSQL** (professional option):
```python
import psycopg2
conn = psycopg2.connect("dbname=seo_db user=postgres")
# Insert results
```

But for now, CSV is perfect for your needs.

---

## Summary

### Storage

| Aspect | Implementation |
|--------|-----------------|
| Database? | No - CSV files |
| Location | `output/reports/` |
| Format | CSV (Excel/Sheets compatible) |
| Persistence | Permanent (until deleted) |

### Draft Posts

| Aspect | Usage |
|--------|-------|
| Default | Published only |
| Include drafts | `--include-drafts` flag |
| Output column | `status` (publish/draft) |
| Use case | Optimize before publishing, recover removed content |

### Commands

```bash
# Published only
python scripts/multi_site_seo_analyzer.py

# Published + Drafts
python scripts/multi_site_seo_analyzer.py --include-drafts

# Published + Drafts + AI
python scripts/multi_site_seo_analyzer.py --include-drafts --top-n 20

# Skip AI (faster)
python scripts/multi_site_seo_analyzer.py --no-ai
```

---

## Next Steps

1. **First run (published only):**
   ```bash
   python scripts/multi_site_seo_analyzer.py --no-ai
   ```

2. **Analyze results:**
   ```bash
   open output/reports/seo_analysis_*.csv
   ```

3. **Optimize published posts** with score < 50

4. **Second run (include drafts):**
   ```bash
   python scripts/multi_site_seo_analyzer.py --include-drafts
   ```

5. **Decide on drafts:** Publish, improve, or delete

6. **Track progress:** Re-run monthly and compare scores

Ready? Start with: `python scripts/multi_site_seo_analyzer.py --include-drafts`